The first comprehensive survey for Multimodal Large Language Models (MLLMs). ✨ Welcome to add WeChat ID (wmd_ustc) to join our MLLM communication group! 🌟 🔥🔥🔥VITA: Towards Open-Source Interactive Omni Multimodal LLM [📽 VITA-1.5 Demo Show! Here We Go! 🔥] [📖 VITA-1.5...
Assembly: Microsoft.VisualStudio.ImageCatalog.dll Package: Microsoft.VisualStudio.ImageCatalog v17.12.40391 C++ Көшіру public: static property Microsoft::VisualStudio::Imaging::Interop::ImageMoniker LanguagePackage { Microsoft::VisualStudio::Imaging::Interop::ImageMoniker get(); }; Property...
A comparison of language learning strategies adopted by secondary and university students in Hong Kong. International Journal of Business and Social Science, 2(11), 29-34.Tse, Andrew Yau-hau (2011). "A Comparison of Language Learning Strategies Adopted by Secondary and University Students in Hong...
A large language model (LLM) is a deep learning algorithm that’s equipped to summarize, translate, predict, and generate text to convey ideas and concepts. Large language models rely on substantively large datasets to perform those functions. These datasets can include 100 million or more paramet...
Strayer DL, Cooper JM, Turrill J, Coleman JR, Hopman RJ (2017) The smartphone and the driver’s cognitive workload: a comparison of Apple, Google, and Microsoft’s intelligent personal assistants. Can J Exp Psychol 71(2):93–110. https://doi.org/10.1037/cep0000104 Article PubMed Google...
The purpose of this exploratory research was to ascertain the validity of the Total Physical Response Storytelling (TPRS) language learning method in comparison with "traditional" language learning methods. The research focused on high s... L Holleny 被引量: 4发表: 2012年 Total Physical Response...
boolean regionMatches(int toffset, String other, int ooffset, int len)Tests whether the specified region of this string matches the specified region of the String argument. Region is of lengthlenand begins at the indextoffsetfor this string andooffsetfor the other string. ...
Departing from traditional linguistic models, advances in deep learning have resulted in a new type of predictive (autoregressive) deep language models (DLMs). Using a self-supervised next-word prediction task, these models generate appropriate linguisti
Previous studies on the neural cognitive mechanisms of aspectual processing in second language (L2) learners have focused on Indo-European languages with rich inflectional morphology. These languages have aspects which are equipped with inflected verb fo
Expressive language can be conceptualized in terms of different interrelated components, with children learning how to produce and combine sounds and words to communicate with those around them. Thus, monitoring development across multiple domains (e.g., phonology, vocabulary, grammar) informs our under...